Em 2019, o ICTP South American Institute for Fundamental Research (ICTP-SAIFR) oferecerá bolsas e prêmios aos melhores alunos de graduação. Os candidatos serão selecionados através de prova escrita ministrada pelo IFT-UNESP e o ICTP-SAIFR.

A prova escrita será aplicada na cidade de São Paulo no prédio do IFT-UNESP ao lado do metrô Barra Funda. As perguntas serão escritas em inglês, mas as respostas podem ser em inglês ou português.

Data da prova: 11 de Julho de 2019 (quinta-feira), 14h00
Local da prova: IFT-UNESP (auditório no quarto andar) – Instruções: como chegar
R. Dr. Bento Teobaldo Ferraz 271, Bl. II – Barra Funda – São Paulo, SP.

Na semana anterior à prova, acontecerá a escola IFT-Perimeter-SAIFR Journeys into Theoretical Physics, organizada para estudantes do último ano de graduação. Os melhores alunos serão convidados para participar de um programa de mestrado conjunto com o Perimeter Institute (Waterloo, Canadá) ou o CUNY/Princeton Center for the Physics of Biological Function. Maiores informações sobre a quarta edição da escola podem ser encontradas na página: http://www.ictp-saifr.org/journeys

Candidatos aprovados para o IFT-Perimeter-SAIFR Journeys into Theoretical Physics estão automaticamente inscritos para o  2019 ICTP-SAIFR Competition for Young Physicists.

Da inscrição:
Os candidatos deverão estar regularmente matriculados em um curso de graduação.
As inscrições são feitas online e devem conter nome, data de nascimento, número do RG, e universidade.

Da prova:
A prova escrita terá duração de 3 1/2 horas, e versará sobre as seguintes matérias do curso de graduação em Física: Mecânica Clássica, Mecânica Quântica, Mecânica Estatística/Termodinâmica, Eletromagnetismo, Relatividade Especial e Física-Matemática.
A prova será aplicada às 14hs no dia 11/07/2019 no auditório do quarto andar do Instituto de Física Teórica, à Rua Dr. Bento Teobaldo Ferraz 271, Bl. II, Barra Funda, 01140-070, São Paulo, SP.
Apenas os candidatos devidamente inscritos e munidos de R.G. ou documento equivalente (com foto) poderão fazer a prova.
Candidatos que chegarem atrasados não poderão realizar a prova.
Durante a prova não será permitido o uso de qualquer tipo de notas, livros, computador, ou calculadora.

Poster

Inscrições encerradas

Nomes dos Ganhadores do 2012 Prêmio IFT-ICTP para Jovens Físicos
Nomes dos Ganhadores do 2013 Prêmio IFT-ICTP para Jovens Físicos
Nomes dos Ganhadores do 2014 Prêmio IFT-ICTP para Jovens Físicos
Nomes dos Ganhadores do 2015 Prêmio IFT-ICTP para Jovens Físicos
Nomes dos Ganhadores do 2016 Prêmio IFT-ICTP para Jovens Físicos
Nomes dos Ganhadores do 2017 Prêmio IFT-ICTP para Jovens Físicos
Nomes dos Ganhadores das Bolsas 2018 ICTP-SAIFR para Jovens Físicos
Nomes dos Ganhadores das Bolsas 2019 ICTP-SAIFR para Jovens Físicos
Nomes dos Ganhadores das Bolsas 2022 ICTP-SAIFR para Jovens Físicos
Nomes dos Ganhadores do 2023 Prêmio SAIFR para Jovens Físicos

Provas anteriores:

• 2012
• 2013
• 2014
• 2015
• 2016
• 2017
• 2018
• 2019
• 2022

This school will  introduce graduate students and young researchers to a set of tools and concepts that underlie many of the works being performed in modern Statistical Physics. The school is thought to operate as a preparation for Stat. Phys.; therefore it consists of three main activities: a set of three courses taught by three lecturers, a set of discussion sessions where the abstracts of the conference will be discussed. The students will be tutored in how to select the posters to visit in a consistent way with their research interests, prepare for discussing with the authors, and framing the selected works within a larger body of research. Finally, one of the members of the Steering committee of Stat. Phys. (Maxi San Miguel) will present two lectures on the recent history of Statistical physics and its perspectives.

Much of the present work in modern statistical mechanics deals with study of collective behavior emerging from the interaction of nonlinear, out of equilibrium units, whose individual dynamics is described by a body of qualitative tools known as “nonlinear dynamics”. For this reason, one of the courses presents an introduction to nonlinear dynamics, with special emphasis on the study of large networks of coupled oscillators and excitable systems.

Announcement

Organizers:

• Pablo Balenzuela (University of Buenos Aires, Argentina)
• Mauro Copelli (UFPE, Brazil)
• Gabriel Mindlin (University of Buenos Aires, Argentina)

Satisfaction survey:

• click here

Announcement

1.Courses

I. Introduction to nonlinear dynamics – Gabriel B. Mindlin (University of Buenos Aires, Argentina)
Much of the present work in modern statistical mechanics deals with study of collective behavior emerging from the interaction of nonlinear, out of equilibrium units, whose individual dynamics is described by a body of qualitative tools known as “nonlinear dynamics”. In this course we present

1. The elements of the description of a nonlinear system (attractors, limit cycles, trajectories, invariant manifolds)

2 The reduction of a problem to its normal form, and the study of paradigmatic bifurcations

3. Time series data arising from nonlinear systems

4. The dynamics of averaged quantities from many nonlinear, out of equilibrium units: synchronization

II. Multi-agent models in complex networks – Pablo Balenzuela (University of Buenos Aires, Argentina)
This course provides an introduction to the use of Statistical Physics tools for the analysis and understanding of multi-agent systems. Most systems in this realm are composed by elements (generically termed agents) that do not act in isolation and are inhomogeneous. As a result of their interaction, complex behavior is usually observed at a macroscopic scale and the systems operate usually in out-ofequilibrium conditions. Therefore, advanced techniques from Statistical Mechanics are suited for understanding some of their properties. The objectives of the course are to allow the students to
understand the modeling approach taken to uncover the mechanisms behind large-scale phenomena and assimilate its underlying difficulties, limitations and strengths. Special emphasis will be given at the interpretation of the parameters included in the models. The course will be organized in four classes comprising the following topics:

1 – Introduction to generic properties of Agent-bases models and Complex Networks

2 – Social Influence and opinion formation models

3 – The Axelrod model: cultural dynamics and Mass Media Influence modeling

4 – Functional networks and large scale brain dynamics: Data analysis and models.

III. Criticality, with applications to neuroscience – Mauro Copelli (UFPE, Brazil)
Since the seminal work of Hodgkin & Huxley unveiled the essential biophysical mechanisms of single neurons in the 1950s, a major challenge in Neuroscience has been to understand how neurons operate *collectively* in order for the brain to work “properly”. But what does “properly” mean? In a naïve line of reasoning, one could imagine neurons that were connected so that their collective behavior is essentially chaotic: such a brain would probably fail to make any orderly sense of the stimuli arriving from its surroundings. In the opposite extreme, neurons that collectively behave in a very orderly fashion might also face difficulties, possibly being dynamically too rigid to account for a rich, varying environment. This led to a conjecture that the brain as a high-dimensional dynamical system might be operating somewhere in between these two qualitatively different
behaviors, more precisely near a second-order phase transition. According to the theory of critical phenomena in Statistical Physics, at this critical point a number of nontrivial statistical properties emerge, such as long-range time and spatial correlations, diverging susceptibility etc. When transposed to models of neuronal networks, some of these properties have been interpreted as functionally beneficial to a putative critical brain. Research in this field gained a lot of momentum in 2003, when Beggs & Plenz experimentally detected power-law distributed neuronal avalanches in vitro. Since then, other nontrivial statistical signatures have been revealed in neurophysiological data at different spatial and temporal scales, including both anesthetized and non-anesthetized animals, thus strengthening the connections with the criticality conjecture. In this series of four classes, I will explore the strength and limitations of this theoretical framework in light of experimental results. More generally, I will highlight the need of theoretical developments in Neuroscience, which offers theoretical physicists a fertile ground for interdisciplinary research.

2. Special Lectures

Physical limits to biological function – William Bialek (Princeton, USA)
On a dark night, our eyes can count single photons. The quietest sounds we can hear move the eardrum but less than the diameter of an atom. Bacteria navigate chemical gradients so reliably that they must be counting almost every molecule that arrive at their surface. These and many other example suggest that evolution has pushed biological systems close to the physical limits on performance. Importantly, this notion of observation can be turned into a principles from which we can derive the behaviors of these systems, and in some cases make more detailed predictions about mechanism. I’ll present examples of these ideas, showing how we can now connect these general (and sometimes abstract) physical principles to real data on particular systems.

Statistical physics for real biological networks – William Bialek (Princeton, USA)
Life is more than the sum of its parts, and some of the phenomena that we find most fascinating emerge from interactions among hundreds or thousands of elements.  Examples range from protein structure to neural networks to flocks of birds.  Recent experimental developments give us much more quantitative and complete data on these systems.  I’ll discuss approaches to building statistical physics models that can connect with these data, in surprising detail.  These models are sufficiently accurate that we can take them seriously and ask where real systems are in phase diagram of possible systems.  I’ll also describe approaches to the analysis of data on these systems that are inspired by the renormalization group.  Recent data on large populations of neurons show striking evidence of scaling, suggesting that these complex systems are described by some nontrivial fixed point.

Statistical physics: state of the art (I and II) – Maxi San Miguel (IFISC, Spain)
The lectures will describe the history of complex systems, the importance of simple models in the description of complex phenomena, and recent applications of tools and concepts from statistical physics to fields including sociology and economy

Papers for the projects:

• click here

Preparatory School for StatPhys 2019

I. Introduction to nonlinear dynamics – Gabriel B. Mindlin (University of Buenos Aires, Argentina)

• Slides
• Lecture 1
• Lecture 2
• Lecture 3
• Lecture 4

II. Multi-agent models in complex networks – Pablo Balenzuela (University of Buenos Aires, Argentina)

• Lecture 1 – Slide
• Lecture 2 – Slide
• Lecture 3 – Slide
• Lecture 4 – Slide

III. Criticality, with applications to neuroscience – Mauro Copelli (UFPE, Brazil)

• Lecture 1 – PDF1 – PDF2 – PDF3
• Lecture 2 –
• Lecture 3 –
• Lecture 4 – PDF4

Physical limits to biological function & Statistical physics for real biological networks – William Bialek (Princeton, USA)

• Lecture 1 – Slide – Files
• Lecture 2 – Slide
• Lecture 3 – Slide
• Lecture 4 – Slide

Statistical physics: state of the art (I and II) – Maxi San Miguel (IFISC, Spain)

• Lecture 1 – Slide
• Lecture 2 – Slide
• Lecture 3 – Slide
• Lecture 4 – Slide

School Program: PDF updated on June 24, 2019

Registration: ALL participants should register. The registration will be on July 01 (monday)  at the institute at 09:00 am.

List of Participants:  Updated on June 28, 2019

Accommodation: Participants, whose accommodation will be provided by the institute, will stay at The Universe Flat. Hotel recommendations are available here

How to reach the Institute: The school will be held at ICTP South American Institute, located at IFT-UNESP, which is across the street from a major bus and subway terminal (Terminal Barra Funda). The address which is closer to the entrance of the IFT-UNESP building is R. Jornalista Aloysio Biondi, 120 – Barra Funda, São Paulo. The easiest way to reach us is by subway or bus, please find instructions here.

Yellow fever vaccination is recommended for travellers going to Brazil. Note that the vaccine needs to be taken at least ten days before the trip to be effective. Information: https://wwwnc.cdc.gov/travel/notices/alert/yellow-fever-brazil

Ground transportation instructions: 

Ground transportation from Guarulhos Airport to The Universe Flat

Ground transportation from Congonhas Airport to the Universe Flat

Ground transportation from The Universe Flat to the institute

The ever-accelerating volume and variety of data being generated is having a huge impact on a wide variety of research disciplines, from the sciences to the humanities. The international, collective ability to create, share and analyse vast quantities of data is having a profound, transformative effect. This ‘Data Revolution’ offers great opportunities for students with modern data skills, both in conducting their research and in entering a jobs market where those skills are in demand.

Contemporary research – particularly when addressing the most significant, transdisciplinary research challenges – cannot be done effectively without a range of skills relating to data. This includes the principles and practice of Open Science and research data management and curation, the use of a range of data platforms and infrastructures, large scale analysis, statistics, visualisation and modelling techniques, software development and annotation and more. We define ‘Research Data Science’ as the ensemble of these skills.

The International School on Data Science will focus on growing competence in accessing, analyzing, visualising, and publishing data. It is open to participants from all disciplines and/or background from the sciences to humanities. This activity will cover topics on principles and practice of Open Science, research data management and curation, use of a range of research compute infrastructures, large scale analysis, statistics, visualisation and modeling techniques, automation and scripting.

There is no registration fee. Limited funds are available to support accommodation, subsistence and travel support. For financial reasons, it is likely that priority will be given to travel support for students from the South America region, except in the case of particularly exceptional students.

Applicants from any region are strongly encouraged to look for alternative sources of funding to support their participation. For the recent CODATA-RDA School of Research Data Science in Trieste a large number of students were able to support their participation with funding from a variety of sources including their institutions, various grants, charities and sponsoring organisations etc

The training provided by the CODATA-RDA School of Research Data Science is primarily targeted at Early Career Researchers (advanced masters students, doctoral candidates, post-docs and young or early career academics). The data skills taught are also useful for (data) librarians and other research support staff, such as those who envisage a career as data steward or data analysts. Furthermore, people who are more advanced in their careers who would like to improve their data skills as a form of continuing professional development are also eligible.

Applicants are expected to have a baseline of data skills and these are tested by an online form. In addition, applicants should pay particular attention to their personal statement and communicate persuasively their reasons for wishing to attend the School: how do they intend to use these skills, how will it benefit their research or the institution in which they work? Finally, candidates should take pains to ensure that their application is well supported by references from their past or present tutors or line managers. This is particularly important so that the School directors have confidence in the candidate and that the skills learnt will have the maximum benefit and impact.

Satisfaction survey:

• click here

Announcement

Online application is now closed. 

Directors:

• Marcela Alfaro Córdoba (University of Costa Rica)
• Simon Hodson (CODATA, Committee on Data of the International Council for Science, France)
• Sarah Jones (Digital Curation Centre, University of Glasgow, UK)
• Robert E Quick (Indiana University, USA)
• Hugh Shanahan (Royal Holloway, University of London, UK)

Local Organizers:

• Nathan Berkovits (ICTP-SAIFR/IFT-UNESP, Brazil)
• Raphael Cobe (NCC, Brazil)
• Ivan Girotto (ICTP-Trieste, Italy)
• Rogério Iope (NCC, Brazil)
• Beraldo Leal (NCC, Brazil)
• Sérgio Novaes (NCC and SPRACE, Brazil)

Lecturers:

• Marcela Alfaro (Universidad de Costa Rica, Costa Rica)
• Raphael Cobe (NCC, Brazil)
• Steve Diggs (University of California, USA)
• Filipe Fernandes (NOOA/IOOS & Software Carpentry, Brazil)
• Robert E Quick (Indiana University, USA)
• Natália da Silva (Universidad de La República, Uruguay)

School program: PDF updated on Dec. 3, 2018

Link to school material: here

Monday, 3 December 2018

09:30 – 10:30 Registration, Administrative, and Financial formalities

11:00 – 12:30 Introduction and Open Science 1 (Marcela Alfaro Córdoba) Class

12:30 – 13:30 Lunch

13:30 – 17:30 The Unix Shell (SW Carpentry – Filipe Fernandes) Lab

15:00 – 15:30 Coffee break

15:30 – 17:30 The Unix Shell (SW Carpentry – Filipe Fernandes) Lab

Tuesday, 4 December 2018

9:30 – 11:00 Version Control with Git (SW Carpentry – Filipe Fernandes) Lab

11:00 – 11:30 Coffee break

11:30 – 12:30 Version Control with Git (SW Carpentry – Filipe Fernandes) Lab

12:30 – 13:30 Lunch

13:30 – 15:00 Introduction to R (R-ladies SãoPaulo) Lab

15:00 – 15:30 Coffee break

15:30 – 17:30 Introduction to R (R-ladies SãoPaulo) Lab

Wednesday, 5 December 2018

09:30 – 11:00 Introduction to  R (R-ladies SãoPaulo) Lab

11:00 – 11:30 Coffee break

11:30 – 12:30 Introduction to  R (R-ladies SãoPaulo) Lab

12:30 – 13:30 Lunch

13:30 – 15:00 Introduction to  R (R-ladies SãoPaulo) Lab

15:00 – 15:30 Coffee break

15:30 – 17:30 Introduction to  R (R-ladies SãoPaulo) Lab

Thursday, 6 December 2018

09:30 – 11:00 Data Visualisation (Natalia da Silva) Lab

11:00 – 11:30 Coffee break

11:30 – 12:30 Data Visualisation (Natalia da Silva) Lab

12:30 – 13:30 Lunch

13:30 – 15:00 Data Visualisation (Natalia da Silva) Lab

15:00 – 15:30 Coffee break

15:30 – 17:00 Data Visualisation (Natalia da Silva) Lab

17:00 – 17:30 Short Intro to RDM  (Steve Diggs) Lab

Friday, 7 December 2018

9:30 – 11:00 Research Data Management (Marcela Alfaro Córdoba) Class

11:00 – 11:30 Coffee break

11:30 – 12:30 Research Data Management (Steve Diggs) Lab

12:30 – 13:30 Lunch

13:30 – 15:00 Research Data Management (Steve Diggs) Lab

15:00 – 15:30 Coffee break

15:30 – 17:30 Research Data Management (Steve Diggs) Lab

Monday, 10 December 2018

9:30 – 10:30 Data Science in Industry: Itaú Bank – Class

10:30 – 11:00 CODATA-RDA intro session (Marcela Alfaro Córdoba/Rob Quick) Class

11:00 – 11:30 Coffee break

11:30 – 12:30 Open Science 2 (Marcela Alfaro Córdoba) Class

12:30 – 13:30 Lunch

13:30 – 15:00 Information Security (Raphael Cóbe/Rob Quick) Class + Lab

15:00 – 15:30 Coffee break

15:30 – 17:30 Information Security(Raphael Cóbe/Rob Quick) Class + Lab

Tuesday, 11 December 2018

09:30 – 11:00 Overview of Machine Learning (Raphael Cóbe) Lab

11:00 – 11:30 Coffee break

11:30 – 12:30 Overview of Machine Learning (Raphael Cóbe) Lab

12:30 – 13:30 Lunch

13:30 – 15:00 Overview of Machine Learning (Raphael Cóbe) Lab

15:00 – 15:30 Coffee break

15:30 – 17:30 Overview of Machine Learning (Raphael Cóbe) Lab

Wednesday, 12 December 2018

09:30 – 11:00 Artificial Neural Networks (Raphael Cóbe)  Lab

11:00 – 11:30 Coffee break

11:30 – 12:30 Artificial Neural Networks (Raphael Cóbe)  Lab

12:30 – 13:30 Lunch

13:30 – 15:00 Artificial Neural Networks (Raphael Cóbe)  Lab

15:00 – 15:30 Coffee break

15:30 – 17:30 Artificial Neural Networks (Raphael Cóbe)  Lab

Thursday, 13 December 2018

9:30 – 11:00 Research Computational Infrastructure (Rob Quick) Lab

11:00 – 11:30 Coffee break

11:30 – 12:30 Research Computational Infrastructure (Rob Quick) Lab

12:30 – 13:30 Lunch

13:30 – 15:00 Research Computational Infrastructure (Rob Quick) Lab

15:00 – 15:30 Coffee break

15:30 – 17:30 Research Computational Infrastructure (Rob Quick) Lab

Friday, 14 December 2018

9:30 – 11:00 Research Computational Infrastructure (Rob Quick) Lab

11:00 – 11:30 Coffee break

11:30 – 12:30 Research Computational Infrastructure (Rob Quick) Lab

12:30 – 13:30 Workshop wrapup (Rob Quick) Class

Registration: ALL participants should register. The registration will be on December 03 at the institute at 09:30 am.

List of Participants: Updated on November 26, 2018.

Accommodation: Participants, whose accommodation will be provided by the institute, will stay at The Universe Flat. Hotel recommendations are available  here

How to reach the Institute: The workshop will be held at ICTP South American Institute, located at IFT-UNESP, which is across the street from a major bus and subway terminal (Terminal Barra Funda). The address which is closer to the entrance of the IFT-UNESP building is R. Jornalista Aloysio Biondi, 120 – Barra Funda, São Paulo. The easiest way to reach us is by subway or bus, please find instructions here.

Yellow fever vaccination is recommended for travellers going to Brazil. Note that the vaccine needs to be taken at least ten days before the trip to be effective. Information: https://wwwnc.cdc.gov/travel/notices/alert/yellow-fever-brazil

Ground transportation instructions: 

Ground transportation from Guarulhos Airport to The Universe Flat

Ground transportation from Congonhas Airport to the Universe Flat

Ground transportation from The Universe Flat to the institute